web-scraping typescript playwright patchright e-commerce data-extraction retail-analytics product-scraper anti-bot cheerio
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Updated
Jun 25, 2026 - TypeScript
web-scraping typescript playwright patchright e-commerce data-extraction retail-analytics product-scraper anti-bot cheerio
Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.
Projeto de clusterização de dados de e-commerce utilizando K-Means e DBSCAN para segmentar clientes e produtos.
bershka product data extractor
Original research dataset by PerfumeM. Most-searched fragrance in every US state, 12-month Google Trends analysis across 30 top fragrances. CC BY 4.0.
A data-driven analysis project focused on identifying e-commerce revenue leakage and developing customer retention strategies using Python and SQl.
Paynes Gray product data scraper
Proyek ini bertujuan untuk menganalisis perilaku pelanggan dan tren penjualan pada dataset E-Commerce Olist di Brasil. Selain itu, saya menggunakan teknik RFM Analysis dan K-Means Clustering, untuk mengidentifikasi segmen pelanggan utama agar dapat memberikan rekomendasi strategi pemasaran yang dipersonalisasi.
Sears product data scraper
End-to-end ETL Data Pipeline for Olist E-Commerce. Spark ingestion, Parquet transformation, Data Warehousing (Galaxy Schema) with SCD Type 2, incremental PostgreSQL loading, daily scheduling, Analytical SQL queries, and persistent Audit Logging.
mazen product data extractor
woocommerce scraper for ecommerce data
KPrepublic product data scraper
rarebeauty cosmetic product scraper
Performed exploratory data analysis on a cleaned e-commerce orders dataset using Microsoft Excel. Computed key statistics including count, mean, median, minimum, and maximum across total price and unit price columns to uncover patterns and summarize the dataset's numerical distribution.
Zensah apparel product scraper
This project is an in-depth analysis of eCommerce data using PySpark for big data processing. It focuses on understanding customer behavior, sales trends, and providing valuable insights for business strategies.
Amazon product data scraper
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